The KAUST 2023 Workshop on Statistics showcased the significant impact of statistics and data science in various fields, including health, the environment, and renewable energy, emphasizing their importance in shaping a better and more sustainable future.
A "deep" many-layered neural network does the heavy lifting in calculating accurate predictions from large complex environmental datasets.
An efficiency upgrade for an already fast approximation method enables accurate near-real-time modeling of complex systems and large datasets.
Skin organoids offer a powerful platform for drug discovery in the ongoing fight against the virus formerly known as monkeypox.
KAUST extSTAT Research Group wins prestigious awards at EVA 2023 Conference in Milan.
Applying a penalty for increasing complexity provides better control over flexible statistical models.
KAUST Assistant Professor of Statistics Paula Moraga recently received the Letten Prize 2023 for Young Researchers. Established in 2018, the Letten Prize is a collaboration between the Letten Foundation and the Young Academy of Norway.
Weather variability and extreme events affect the optimal design and operation of renewable energy systems, particularly for striking a trade off between life cycle cost and carbon dioxide emissions.
KAUST graduates are characterized by the rigor of their Ph.D. programs, the long hours spent in the lab and classroom, juggling professional and personal commitments, achieving a work-life balance and, more recently, the ability to adapt to a global pandemic.
KAUST Distinguished Professor of Statistics Marc Genton has received the Royal Statistical Society’s (RSS) 2023 Barnett Award.
KAUST Ph.D. statistics student Paolo Victor Redondo was selected as a runner-up in the American Statistical Association’s (ASA) Statistics in Imaging Section 2023 Distinguished Student Paper Award Competition
KAUST Associate Professor of Statistics Raphaël Huser has been awarded the Abdel El-Shaarawi Early Investigator (AEEI) Award 2022 from The International Environmetrics Society (TIES), an association of the International Statistical Institute (ISI).
An asymmetric statistical model provides a better fit for imbalanced data with rare "positives," such as longitudinal health datasets.
A deep-learning technique could offer accurate large-scale predictions in the field of geospatial statistics.
The fast-developing science of geospatial statistics offers new insights into diverse health challenges, from cancer hotspots to problems of air pollution and the spread of COVID-19. Three new projects should yield a better understanding of what causes disease in Saudi Arabia and how to fight it.